Content-aware optical flow estimation

Jiang, Richard and Bouridane, Ahmed (2013) Content-aware optical flow estimation. In: EUVIP 2013 - 4th European Workshop on Visual Information Processing, 10th - 12th June 2013, Paris, France.

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Abstract

While motion tracking is of use in many computer vision applications, optical flow estimation has become a challenging task that attracts vast interest in the past decade. In this paper, different from conventional pixel level energy formulation, we propose incorporating image structure analysis for content-aware optical flow estimation. In our content-aware method, image content analysis is carried out on the input frames, and spatiotemporal information is then extracted in the preprocessing procedure and incorporated in the proposed content-aware energy model to help enhance the accuracy of optical flow estimation. The experiment validated that the proposed content-aware method can attain a better accuracy in comparison with the content-blind model, and demonstrated better flow estimation results that were consistent with image structures.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	image content analysis; motion tracking; Optical flow;
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:	Organisation
Depositing User:	Becky Skoyles
Date Deposited:	15 Jan 2015 14:22
Last Modified:	13 Oct 2019 00:33
URI:	http://nrl.northumbria.ac.uk/id/eprint/20912

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